Dermatoscopy and Skin Cancer, updated edition, is a handbook to help dermatologists, dermatoscopists and GPs easily differentiate between benign and malignant tumours, leading to fewer unnecessary biopsies and earlier treatment of cancers. Based around two easy to follow algorithms, 'Chaos and Clues' and 'Prediction without Pigment', the book shows all dermatoscope users how to confidently diagnose skin lesions earlier and with greater precision. In addition, this handbook provides coverage of: the microanatomy of the skin specimen processing and histopathology the language of dermatoscopy to help name and define structures and patterns approaches to skin examination and photodocumentation revised pattern analysis as an additional diagnostic algorithm dermatoscopic features of common and significant lesions. Using hundreds of high quality images, the authors provide a detailed algorithmic approach to assessing the skin; an approach that has been successfully taught to thousands of doctors around the world.
Dermatoscopy has undoubtedly advanced diagnostic accuracy of pigmented and non-pigmented skin lesions. Pattern analysis is the most powerful of current methods for dermatoscopic diagnosis, but it does present significant challenges to the learning dermatoscopist. We present here an algorithmic method, derived from pattern analysis, based on logical analysis of simply defined geometric features. We consider this presents fewer barriers to the beginner, but retains sufficient power for the most experienced user. Most importantly, it provides a better framework for elevating experience beyond mere anecdote, allowing experience to lead to true expertise.
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